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Cited by 178

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Advances in chemiresistive sensors for acetone gas detection

Baharuddin, Aainaa Aqilah, Ang, Bee Chin, Haseeb, A.S.M.A., Wong, Yung Cheng, Wong, Yew Hoong·2019·Materials Science in Semiconductor Processing

Abstract

Abstract Detection of acetone gas embraces a broad range of purposes. It encompasses medical application for healthcare, serving as an alternative for conventional diagnosis of diabetes as well as aiding in environmental monitoring. Thus, a comprehensive understanding of recent development for chemiresistive acetone gas sensors is essential to ensure rapid progression is upheld in the future. The objectives of this review are to assess state-of-the-art of chemiresistive sensors for acetone gas detection and to identify factors affecting performance of the sensors which could bring about sensing developments. For these purposes, sensing characteristics entailing limit of detection, response and recovery time, stability as well as factors affecting sensing mechanisms are discussed thoroughly in the paper. This review informs readers about deficiencies that majority of gas sensors are still facing to date. Recognizing the shortcomings would encourage improvements on detection of acetone gas in the future.

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Metadata

Authors
Baharuddin, A. A., Ang, B. C., Haseeb, A. S. M. A., Wong, Y. C., & Wong, Y. H.
Venue
Materials Science in Semiconductor Processing
Publisher
Elsevier BV
Published
2019-11
Volume
103
Pages
104616
ISSN
1369-8001 (ISSN-L)
OpenAlex
W2960028902
Cited by
178
References
1
FWCI
5.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advances in chemiresistive sensors for acetone gas detection. https://app.cochat.ai/papers/10.1016/j.mssp.2019.104616
The paper
Baharuddin, A. A., Ang, B. C., Haseeb, A. S. M. A., Wong, Y. C., & Wong, Y. H. (2019). Advances in chemiresistive sensors for acetone gas detection. Materials Science in Semiconductor Processing. https://doi.org/10.1016/j.mssp.2019.104616

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